Triple
T30142706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volkswagen emissions scandal |
E766169
|
entity |
| Predicate | totalCostsEstimate |
P4259
|
FINISHED |
| Object | tens of billions of euros |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: tens of billions of euros | Statement: [Volkswagen emissions scandal, totalCostsEstimate, tens of billions of euros]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalCostsEstimate Context triple: [Volkswagen emissions scandal, totalCostsEstimate, tens of billions of euros]
-
A.
estimatedCost
chosen
Indicates the predicted or calculated monetary amount expected to be required for something, such as a project, item, or action.
-
B.
economicCost
Indicates the financial burden, expense, or resource expenditure associated with an action, event, or relationship between entities.
-
C.
estimatedCostComment
Indicates a textual note or explanation associated with an estimated cost, such as rationale, assumptions, or additional details about that estimate.
-
D.
programCost
Indicates the monetary or resource expenditure required to implement, run, or participate in a particular program.
-
E.
constructionCost
Indicates the monetary or resource expenditure required to build or construct something.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f2247909048190ae86c2160cf8b566 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f7117e55908190a67105e92bc4830f |
completed | May 3, 2026, 9:12 a.m. |
| PD | Predicate disambiguation | batch_69f70f380690819090cc34763ba460ed |
completed | May 3, 2026, 9:02 a.m. |
Created at: April 29, 2026, 7:18 p.m.